Ground movement classification using statistical tests over persistent scatterer interferometry time series
This study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to detect TSs affected by phase unwrapping errors and a r...
| Authors: | ; ; ; ; ; |
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| Format: | Article |
| Publication date: | 2022 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/384033 |
| Online Access: | https://hdl.handle.net/2117/384033 https://dx.doi.org/10.1016/j.procs.2021.11.068 |
| Access Level: | Open access |
| Keyword: | Synthetic aperture radar Remote sensing Interferometry Teledetecció Radar d'obertura sintètica Interferometria Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Summary: | This study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to detect TSs affected by phase unwrapping errors and a reclassification part to detect stable points, which are incorrectly classified as moving points using the original method. Around 60 km2 of Catalunya were classified using Sentinel-1 images and a PSI technique. The proposed method classified 78359 PS TS. This study provided the spatial distribution of ground movement classes and detected several time series anomalies. |
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